{"id":"W7028697066","doi":"","title":"Generation and Evaluation of Digital Elevation Model Derived Through Spaceborne Synthetic Aperture Radar Interferometry","year":2007,"lang":"en","type":"other","venue":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Digital elevation model; Synthetic aperture radar; Coherence (philosophical gambling strategy); Satellite; Interferometry; Radar; Tandem; Earth observation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004483344,0.0004526773,0.0002336557,0.0007767148,0.0001241742,0.0005141606,0.0003986635,0.0003469543,0.00110419],"category_scores_gemma":[0.001069098,0.0001585465,0.000402953,0.0004847111,0.0001337631,0.0006649636,0.0002867994,0.0002928059,0.000463163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003006336,"about_ca_system_score_gemma":0.0003065253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004023116,"about_ca_topic_score_gemma":0.004079498,"domain_scores_codex":[0.9998212,0.00003341822,0.00001353895,0.00003515544,0.00007871123,0.00001796796],"domain_scores_gemma":[0.9996877,0.00006828194,0.00002400802,0.00007746306,0.0001268516,0.00001580267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003155971,0.0002791677,0.01783457,0.0001556842,0.0001150406,0.0003454068,0.0001264856,0.7659877,0.02863337,0.001895869,0.002427107,0.1818839],"study_design_scores_gemma":[0.00003372786,0.00008340913,0.008836754,0.000007809283,0.00002283096,0.00005447308,0.00006641696,0.9760346,0.01314557,0.0003384558,0.00135904,0.00001687031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8038684,0.000175997,0.1825488,0.0001853394,0.00008710376,0.0001970233,0.003679077,0.003232403,0.006025942],"genre_scores_gemma":[0.9146066,0.0001432992,0.07946723,0.00002325323,0.000007229466,0.00005816598,0.004615858,0.0001179739,0.0009604716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004023116,"threshold_uncertainty_score":0.007999361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299846118812046,"score_gpt":0.2281616913390192,"score_spread":0.2051632301508988,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}